Zobrazeno 1 - 10
of 339 005
pro vyhledávání: '"Rose, P. P."'
Autor:
Wu, Yang, Zhang, Huayi, Jiao, Yizheng, Ma, Lin, Liu, Xiaozhong, Yu, Jinhong, Zhang, Dongyu, Yu, Dezhi, Xu, Wei
Instruction tuning has underscored the significant potential of large language models (LLMs) in producing more human-controllable and effective outputs in various domains. In this work, we focus on the data selection problem for task-specific instruc
Externí odkaz:
http://arxiv.org/abs/2412.00631
Advances in CLIP and large multimodal models (LMMs) have enabled open-vocabulary and free-text segmentation, yet existing models still require predefined category prompts, limiting free-form category self-generation. Most segmentation LMMs also remai
Externí odkaz:
http://arxiv.org/abs/2412.00153
Autor:
Seo, Donggyun
We introduce the concept of a pants decomposition for a rose, where a rose is defined as a wedge sum of finitely many circles, and construct the corresponding pants graph of a rose. A pants decomposition of a rose leads to the formation of a simplici
Externí odkaz:
http://arxiv.org/abs/2410.15276
Autor:
Young, Elliot H., Shah, Rajen D.
It is widely recognised that semiparametric efficient estimation can be hard to achieve in practice: estimators that are in theory efficient may require unattainable levels of accuracy for the estimation of complex nuisance functions. As a consequenc
Externí odkaz:
http://arxiv.org/abs/2410.03471
We study the problem of generating temporal object intrinsics -- temporally evolving sequences of object geometry, reflectance, and texture, such as a blooming rose -- from pre-trained 2D foundation models. Unlike conventional 3D modeling and animati
Externí odkaz:
http://arxiv.org/abs/2412.05278
We present numerical results for the effects of influence by high-amplitude periodic pulse series on a network of nonlocally coupled Hindmarsh-Rose neurons with 2D geometry of the topology. We consider the case when the pulse amplitude is larger than
Externí odkaz:
http://arxiv.org/abs/2411.02130
Disagreement in human labeling is ubiquitous, and can be captured in human judgment distributions (HJDs). Recent research has shown that explanations provide valuable information for understanding human label variation (HLV) and large language models
Externí odkaz:
http://arxiv.org/abs/2412.13942
The vulnerability of machine learning models in adversarial scenarios has garnered significant interest in the academic community over the past decade, resulting in a myriad of attacks and defenses. However, while the community appears to be overtly
Externí odkaz:
http://arxiv.org/abs/2410.12076
This paper proposes a learning framework, RoSE-Opt, to achieve robust and efficient analog circuit parameter optimization. RoSE-Opt has two important features. First, it incorporates key domain knowledge of analog circuit design, such as circuit topo
Externí odkaz:
http://arxiv.org/abs/2407.19150